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Correlation between the Recovery Rate and the State of an Economy - Application on the iTraxx

Authors: Jean-Roch Sibille; Georges Hubner;

Correlation between the Recovery Rate and the State of an Economy - Application on the iTraxx

Abstract

This paper studies the relationship between the recovery rate (RR) and the state of an economy (SE) in the traditional Monte Carlo credit risk model introduced by Li (1999) for the pricing of structured credit derivatives. This effect is significant if we consider extreme tranches of collateralized debt obligations (CDOs), because they are only reached when numerous defaults occur. The objective is to present a simple, intuitive and flexible approach for advanced financial products. The model is applied on a generic cash CDO and on the European iTraxx synthetic CDO index.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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